<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Strict//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-strict.dtd"><html xmlns="http://www.w3.org/1999/xhtml"><head><title>R: Mid-Atlantic Wage Data</title>
<meta http-equiv="Content-Type" content="text/html; charset=utf-8" />
<link rel="stylesheet" type="text/css" href="R.css" />
</head><body>

<table width="100%" summary="page for Wage"><tr><td>Wage</td><td style="text-align: right;">R Documentation</td></tr></table>

<h2>Mid-Atlantic Wage Data

</h2>

<h3>Description</h3>

<p>Wage and other data for a group of 3000 male workers in the
Mid-Atlantic region. 

</p>


<h3>Usage</h3>

<pre>Wage</pre>


<h3>Format</h3>

<p>A data frame with 3000 observations on the following 11 variables.
</p>

<dl>
<dt><code>year</code></dt><dd><p>Year that wage information was recorded</p>
</dd>
<dt><code>age</code></dt><dd><p>Age of worker</p>
</dd>
<dt><code>maritl</code></dt><dd><p>A factor with levels <code>1. Never Married</code>
<code>2. Married</code> <code>3. Widowed</code> <code>4. Divorced</code> and
<code>5. Separated</code> indicating marital status</p>
</dd>
<dt><code>race</code></dt><dd><p>A factor with levels <code>1. White</code>
<code>2. Black</code> <code>3. Asian</code> and <code>4. Other</code> indicating race</p>
</dd>
<dt><code>education</code></dt><dd><p>A factor with levels <code>1. &lt; HS Grad</code>
<code>2. HS Grad</code> <code>3. Some College</code> <code>4. College Grad</code>
and <code>5. Advanced Degree</code> indicating education level</p>
</dd>
<dt><code>region</code></dt><dd><p>Region of the country (mid-atlantic only)</p>
</dd>
<dt><code>jobclass</code></dt><dd><p>A factor with levels <code>1. Industrial</code> and
<code>2. Information</code> indicating type of job</p>
</dd>
<dt><code>health</code></dt><dd><p>A factor with levels <code>1. &lt;=Good</code> and
<code>2. &gt;=Very Good</code> indicating health level of worker</p>
</dd>
<dt><code>health_ins</code></dt><dd><p>A factor with levels <code>1. Yes</code> and
<code>2. No</code> indicating whether worker has health insurance</p>
</dd>
<dt><code>logwage</code></dt><dd><p>Log of workers wage</p>
</dd>
<dt><code>wage</code></dt><dd><p>Workers raw wage</p>
</dd>
</dl>



<h3>Source</h3>

<p>Data was manually assembled by Steve Miller, of Open BI
(www.openbi.com), from the March 2011 Supplement to Current Population
Survey data.
</p>
<p><a href="http://thedataweb.rm.census.gov/TheDataWeb">http://thedataweb.rm.census.gov/TheDataWeb</a>
</p>



<h3>References</h3>

<p>James, G., Witten, D., Hastie, T., and Tibshirani, R. (2013)
<em>An Introduction to Statistical Learning with applications in R</em>,
<a href="www.StatLearning.com">www.StatLearning.com</a>,
Springer-Verlag, New York
</p>


<h3>Examples</h3>

<pre>
summary(Wage)
lm(wage~year+age,data=Wage)
## maybe str(Wage) ; plot(Wage) ...
</pre>


</body></html>
